Uncertainties in albedo derived from geostationary and polar orbiting satellite data
This investigation evaluated the uncertainties in albedo derived from geostationary and polar orbiting optical sensors with emphasis on the spectral characteristics, angular sampling and atmospheric correction issues. Albedo simulations were achieved by using satellite orbital models and the SAIL co...
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creator | van Leeuwen, W.J.D. Roujean, J.-L. Lacaze, R. |
description | This investigation evaluated the uncertainties in albedo derived from geostationary and polar orbiting optical sensors with emphasis on the spectral characteristics, angular sampling and atmospheric correction issues. Albedo simulations were achieved by using satellite orbital models and the SAIL code to produce synthetic bidirectional reflectance data sets for a range of vegetation canopies. Among the list of BRDF model candidates for operational use, two BRDF models were inverted with the simulated data of MSG, AVHRR and MSG-AVHRR combined. The values of retrieved model coefficients were used to derive spectral albedo. The synergistic use of data from different sensors raised issues related to the differences in spectral bands, atmospheric effects, and the assumption of the reciprocity principle. |
doi_str_mv | 10.1109/IGARSS.2001.977084 |
format | Conference Proceeding |
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Albedo simulations were achieved by using satellite orbital models and the SAIL code to produce synthetic bidirectional reflectance data sets for a range of vegetation canopies. Among the list of BRDF model candidates for operational use, two BRDF models were inverted with the simulated data of MSG, AVHRR and MSG-AVHRR combined. The values of retrieved model coefficients were used to derive spectral albedo. The synergistic use of data from different sensors raised issues related to the differences in spectral bands, atmospheric effects, and the assumption of the reciprocity principle.</description><identifier>ISBN: 9780780370319</identifier><identifier>ISBN: 0780370317</identifier><identifier>DOI: 10.1109/IGARSS.2001.977084</identifier><language>eng</language><publisher>IEEE</publisher><subject>Atmospheric modeling ; Bidirectional control ; Reflectivity ; Sampling methods ; Satellites ; Soil ; Spatial resolution ; Sun ; Uncertainty ; Vegetation mapping</subject><ispartof>IGARSS 2001. 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Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)</title><addtitle>IGARSS</addtitle><description>This investigation evaluated the uncertainties in albedo derived from geostationary and polar orbiting optical sensors with emphasis on the spectral characteristics, angular sampling and atmospheric correction issues. Albedo simulations were achieved by using satellite orbital models and the SAIL code to produce synthetic bidirectional reflectance data sets for a range of vegetation canopies. Among the list of BRDF model candidates for operational use, two BRDF models were inverted with the simulated data of MSG, AVHRR and MSG-AVHRR combined. The values of retrieved model coefficients were used to derive spectral albedo. The synergistic use of data from different sensors raised issues related to the differences in spectral bands, atmospheric effects, and the assumption of the reciprocity principle.</description><subject>Atmospheric modeling</subject><subject>Bidirectional control</subject><subject>Reflectivity</subject><subject>Sampling methods</subject><subject>Satellites</subject><subject>Soil</subject><subject>Spatial resolution</subject><subject>Sun</subject><subject>Uncertainty</subject><subject>Vegetation mapping</subject><isbn>9780780370319</isbn><isbn>0780370317</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2001</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj81qwzAQhAWl0JL6BXLSC9jVnyPpGEKbBgKFJjmHtXcdVBwrSKLQt68hHQbm8MEww9hSikZK4V932_XX4dAoIWTjrRXOPLDKWydmayu09E-syvlbzDKtMcY-s-Np6ikVCFMJlHmYOIwdYeRIKfwQ8iHFK79QzAVKiBOkXw4T8lscIfGYulDCdOEZCo1jKMQRCrywxwHGTNV_Ltjp_e24-aj3n9vdZr2vgxSm1Nga551SwoJz2vh2WLUS-04g9j1Z1Fr3DmeqsNWw6rAjoTwZAJBOgdILtrz3BiI631K4zvPO9-v6DyEtUOQ</recordid><startdate>2001</startdate><enddate>2001</enddate><creator>van Leeuwen, W.J.D.</creator><creator>Roujean, J.-L.</creator><creator>Lacaze, R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2001</creationdate><title>Uncertainties in albedo derived from geostationary and polar orbiting satellite data</title><author>van Leeuwen, W.J.D. ; Roujean, J.-L. ; Lacaze, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-d548982207a883495f651dcb0ddcce7d333c8d07a2d53a6bdbe029e4aaa182a23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Atmospheric modeling</topic><topic>Bidirectional control</topic><topic>Reflectivity</topic><topic>Sampling methods</topic><topic>Satellites</topic><topic>Soil</topic><topic>Spatial resolution</topic><topic>Sun</topic><topic>Uncertainty</topic><topic>Vegetation mapping</topic><toplevel>online_resources</toplevel><creatorcontrib>van Leeuwen, W.J.D.</creatorcontrib><creatorcontrib>Roujean, J.-L.</creatorcontrib><creatorcontrib>Lacaze, R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>van Leeuwen, W.J.D.</au><au>Roujean, J.-L.</au><au>Lacaze, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Uncertainties in albedo derived from geostationary and polar orbiting satellite data</atitle><btitle>IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)</btitle><stitle>IGARSS</stitle><date>2001</date><risdate>2001</risdate><volume>4</volume><spage>1823</spage><epage>1825 vol.4</epage><pages>1823-1825 vol.4</pages><isbn>9780780370319</isbn><isbn>0780370317</isbn><abstract>This investigation evaluated the uncertainties in albedo derived from geostationary and polar orbiting optical sensors with emphasis on the spectral characteristics, angular sampling and atmospheric correction issues. Albedo simulations were achieved by using satellite orbital models and the SAIL code to produce synthetic bidirectional reflectance data sets for a range of vegetation canopies. Among the list of BRDF model candidates for operational use, two BRDF models were inverted with the simulated data of MSG, AVHRR and MSG-AVHRR combined. The values of retrieved model coefficients were used to derive spectral albedo. The synergistic use of data from different sensors raised issues related to the differences in spectral bands, atmospheric effects, and the assumption of the reciprocity principle.</abstract><pub>IEEE</pub><doi>10.1109/IGARSS.2001.977084</doi></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Atmospheric modeling Bidirectional control Reflectivity Sampling methods Satellites Soil Spatial resolution Sun Uncertainty Vegetation mapping |
title | Uncertainties in albedo derived from geostationary and polar orbiting satellite data |
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